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Skype‐Hunter: A real‐time system for the detection and classification of Skype traffic
Author(s) -
Adami Davide,
Callegari Christian,
Giordano Stefano,
Pagano Michele,
Pepe Teresa
Publication year - 2012
Publication title -
international journal of communication systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.344
H-Index - 49
eISSN - 1099-1131
pISSN - 1074-5351
DOI - 10.1002/dac.1247
Subject(s) - computer science , voice over ip , classifier (uml) , traffic classification , traffic analysis , computer network , quality of service , data mining , artificial intelligence , world wide web , the internet
SUMMARY In the previous years, Skype has gained more and more popularity, since it is seen as the best VoIP software with good quality of sound, ease of use and one that works everywhere and with every OS. Because of its great diffusion, both the operators and the users are, for different reasons, interested in detecting Skype traffic. In this paper we propose a real‐time algorithm (named Skype‐Hunter ) to detect and classify Skype traffic. In more detail, this novel method, by means of both signature‐based and statistical procedures, is able to correctly reveal and classify the signaling traffic as well as the data traffic (calls and file transfers). To assess the effectiveness of the algorithm, experimental tests have been performed with several traffic data sets, collected in different network scenarios. Our system outperforms the ‘classical’ statistical traffic classifiers as well as the state‐of‐the‐art ad hoc Skype classifier. Copyright © 2011 John Wiley & Sons, Ltd.